We were given this problem, but I'm confused as to how approach it;
$$A = {x=(x_1,x_2) \in \Bbb{R}^2: (x_1-1)^2+x_2^2 \leq 1}$$
All our professor has given us so far is the definition of a polar of a set. I'm familiar with separation theorems and extreme points as well. We worked a similar example in class, but instead of computing it directly, we used the fact that an ellipsoid is the image of the Euclidean ball under an affine transformation - which I don't see how I would apply here.
Define $$A^{o}=\{y \ | \ \langle x,y \rangle \le 1 \text{ for all } x \in A\}$$
Then $$A^{\star}=A^{o}\cap (-A^{o})$$
If $A$ is symmetric with respect to $0$ then $A^{o}=-A^{o}$.
We will determine first $A^{o}$. If $(u,v)$ is on the boundary of $A^{o}$ then the function $(x,y) \mapsto u x + v y$ has a maximum $1$ on the region $A$. Let $(x_0, y_0)$ a point of maximum. Then the plane in the $(x,y)$ domain $u x + v y = 1$ is a supporting plane for $A$. If the boundary of $A$ is defined by $f(x,y)=$ const then the gradient of $f$ at $(x_0, y_0)$ is proportional to $(u,v)$. Therfore we have the system $$u x_0 + v y_0 =1\\ u \frac{\partial f(x_0, y_0)}{\partial y} - v\frac{\partial f(x_0, y_0)}{\partial x}=0\\ f(x_0, y_0) = 0$$
Eliminate $x_0$, $y_0$ from the system above to get an equation in $u$, $v$. This works in general if $f(x,y)$ is a an algebraic function. (If $f$ is transcendental then in principle one could approximate $A$ from below and above with semialgebraic sets to get approximations for $A^{o}$).
For instance, in our case the system is $$u x + v y -1=0\\ u y - v(x-1) = 0\\ (x-1)^2 + y^2-1=0$$
We get $2 u + v^2 -1 =0$. Therefore, $$A^{o}= \{(x,y)\ | \ x\le \frac{1-y^2}{2} \}$$ and so $$-A^{o}=\{(x,y)\ | \ x\ge \frac{y^2-1}{2} \}$$ and finally $$A^{\star}=\{(x,y)\ | -\frac{1-y^2}{2}\le x \le \frac{1-y^2}{2} \}$$
See the plot with Wolfram Alpha.
Note also that if in the above system we use $(ux+vy)^2-1=0$ we get directly the equation for the boundary of $A^{\star}$.